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<p>Reminder for the Data Science talk tomorrow Friday, at noon in
the MRB seminar room.</p>
<p>Please use the link below to register if you plan to attend.</p>
<p>best,</p>
<p>V. Tsotras<br>
</p>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
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<td>[UCR_DataScience] Data Science talk by Prof. Maziar
Raissi, Friday May 10th, 12-1pm, MRB Seminar Room</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Tue, 7 May 2024 09:23:15 -0700</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>tsotras--- via DataScience
<a class="moz-txt-link-rfc2396E" href="mailto:datascience@lists.ucr.edu"><datascience@lists.ucr.edu></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Reply-To:
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<td><a class="moz-txt-link-abbreviated" href="mailto:tsotras@cs.ucr.edu">tsotras@cs.ucr.edu</a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:datascience@lists.ucr.edu">datascience@lists.ucr.edu</a></td>
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<br>
<br>
We will have a Data Science seminar this Friday, May 10th,
12:00-1:00pm at<br>
the MRB Seminar Room (1st floor).<br>
<br>
**** Pizza and refreshments will be provided ****<br>
<br>
To keep track of the number of attendees, please *register* at:<br>
<a class="moz-txt-link-freetext" href="https://www.eventbrite.com/e/data-science-talk-tickets-900165367847">https://www.eventbrite.com/e/data-science-talk-tickets-900165367847</a><br>
<br>
The talk will be given by Prof. Maziar Raissi, Mathematics
Department, UCR<br>
<br>
TITLE:<br>
"Data-Efficient Deep Learning using Physics-Informed Neural
Networks"<br>
<br>
<br>
ABSTRACT:<br>
A grand challenge with great opportunities is to develop a
coherent<br>
framework that enables blending conservation laws, physical
principles,<br>
and/or phenomenological behaviours expressed by differential
equations<br>
with the vast data sets available in many fields of engineering,
science,<br>
and technology. At the intersection of probabilistic machine
learning,<br>
deep learning, and scientific computations, this work is pursuing
the<br>
overall vision to establish promising new directions for
harnessing the<br>
long-standing developments of classical methods in applied
mathematics and<br>
mathematical physics to design learning machines with the ability
to<br>
operate in complex domains without requiring large quantities of
data. To<br>
materialize this vision, this work is exploring two complementary<br>
directions: (1) designing data-efficient learning machines capable
of<br>
leveraging the underlying laws of physics, expressed by time
dependent and<br>
non-linear differential equations, to extract patterns from<br>
high-dimensional data generated from experiments, and (2)
designing novel<br>
numerical algorithms that can seamlessly blend equations and noisy<br>
multi-fidelity data, infer latent quantities of interest (e.g.,
the<br>
solution to a differential equation), and naturally quantify
uncertainty<br>
in computations.<br>
<br>
<br>
------------------------------------<br>
Sponsored by the UCR Data Science Center, the purpose of the Data
Science<br>
Seminars is to foster collaborations between "core" Data Science
faculty<br>
(from CSE/ECE/Stat Departments) and faculty/visitors from other
sciences<br>
that face Data Science problems in their research. These informal<br>
gatherings are open to interested faculty and graduate students.
Each<br>
meeting will start with a talk describing research problems and
then a<br>
discussion will follow for questions, open problems, ideas for
possible<br>
collaborations etc.<br>
<br>
A full list of previous seminars appears at:<br>
<a class="moz-txt-link-freetext" href="http://datascience.ucr.edu/seminars">http://datascience.ucr.edu/seminars</a><br>
<br>
Forward this email to other colleagues or graduate students in
your lab<br>
that may be interested. Moreover, if you are interested in giving
a Data<br>
Science related talk, please contact me (<a class="moz-txt-link-abbreviated" href="mailto:tsotras@cs.ucr.edu">tsotras@cs.ucr.edu</a>).<br>
<br>
Sincerely,<br>
Vassilis Tsotras<br>
Professor, CSE Department<br>
co-Director, Data Science Major<br>
Director, MS in Computational Data Science<br>
<br>
<br>
_______________________________________________<br>
DataScience mailing list<br>
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<a class="moz-txt-link-freetext" href="https://lists.ucr.edu/mailman/listinfo/datascience">https://lists.ucr.edu/mailman/listinfo/datascience</a><br>
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